Transcript Efficient Graph Segmentation Batch Output

Imaging, Robotics, and Intelligent Systems
IRIS
Efficient Graph Segmentation
Batch Output
1 Oct 2010
Slide 1
Process
Imaging, Robotics, and Intelligent Systems
IRIS
• Used GUI to produce batch output
• Varied hard-coded parameters
• Compared results by viewing thumbnails and
parameters listed in file manifest
Slide 2
Parameter Values
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Imaging, Robotics, and Intelligent Systems
IRIS
sigma varied from 0.5 to 2.4 by 0.1s
k varied from 100 to 1000 by 100s
minsize varied from 20 to 80 by 10s
Parameter start values based on those
provided in the algorithm’s README
• Produced 800 images
Slide 3
Results
Imaging, Robotics, and Intelligent Systems
IRIS
• Segmentation best with sigma around .9, k around
700, and minsize around 30
• Results poor with sigma above 1.9, k at 1000, and
minsize above 60
Slide 4
Results
IRIS
Sigma: 0.9
Sigma: 0.5
k: 700
k: 500
Min size: 30
Min size: 30
Sigma: 2.4
Sigma: 2.4
k: 1000
Min size: 20
Slide 5
Imaging, Robotics, and Intelligent Systems
k: 1000
Min size: 60
Next Steps
Imaging, Robotics, and Intelligent Systems
IRIS
• Start with smaller values to find better
minimums
• Use with more images
• Develop method to automatically convert
output images into thumbnail graphs
• Finish GUI parameter form
Slide 6